Oct 27, 2024
AI and Public Health: TSA Pre Health Check
Jacob Lin, Habib Aina
The TSA Pre Health Check introduces a proactive, AI-powered solution for real-time disease monitoring at transportation hubs, using machine learning to assess traveler health risks through anonymized surveys. This approach aims to detect and prevent outbreaks earlier, offering faster, targeted responses compared to traditional methods and potentially influencing future AI-driven public health policies.
Lukas Peterson
Very relevant problem and an elegant solution. To dig deeper I would research where the bottle necks in the system is and whether your solution is adressing one of these. I would also look into if the accuracy of vanilla OpenAI models are good enough or if you need to do a finetune or some other more specific solution.
Idris Sunmola
The importance of real-time infectious disease monitoring can not be overstated. This project creates an avenue for travelers and airport authorities to catch and prevent likely outbreaks at points of transit. The mobile and web app is simple and intuitive.
Amy Wang
Great idea and I can see this being helpful to prevent public health crisis. However, PDF says that the tool would be used for outbreak prediction & monitoring, but demo is an AI-driven survey tool. Using self-reported data may lead to inaccuracies. Would also benefit from thoughts/explanation about privacy when it comes to infectious disease tracking.
Cite this work
@misc {
title={
@misc {
},
author={
Jacob Lin, Habib Aina
},
date={
10/27/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
